Sensor Integration Using State Estimators
Means for including very different types of sensors using one single unit are described. Accumulated data are represented using an undatable dynamic model, a Kaiman filter. The scheme easily handles common phenomena such as skewed sampling, finite resolution measurements and information delays. Included is an example where 3D motion information is collected by one or more vision sensors.
KeywordsKalman Filter Extend Kalman Filter Measurement Vector Sensor Integration Autonomous Vehicle
Unable to display preview. Download preview PDF.
- Dickmanns, E. D., Zapp, A. (1985): Guiding Land Vehicles along Roadways by Computer Vision. Proc. Congres Automatique 1985, The Tools for Tomorrow, Toulouse, 233–244Google Scholar